Industry cityscape-How industries are putting private AI to work | DXC Technology Insights

Industry Spotlights | September 25, 2025

How industries are putting private AI to work

By Karim Jeribi, Vice President Global Industries, DXC Technology

As artificial intelligence continues to grow in sophistication, today’s leaders are taking steps to strike the right balance between innovation and security. 

This is because at a time when governments and businesses are eager to unlock the prospects of AI, many are also prioritizing data privacy. While AI models rely on data to spot patterns and make predictions, leaders understand that the private data used to train these models could potentially be misused. This poses a risk to their organization’s intellectual property, customer information and other sensitive data.

To help manage the risks, many have turned to private AI, an approach that uses AI systems in a way that protects data privacy and maintains an organization’s control over sensitive data.  

DXC approaches Private AI through its Xponential operating model: a repeatable, governance-first blueprint that uses targeted MVPs to validate value, then scales proven solutions across the enterprise.

Keep in mind that public and private AI can complement each other depending on the specific use case. Public AI offers scale and accessibility, while private AI is vital in sectors like healthcare, aerospace and defense where sensitive data is at stake.

Based on DXC Technology’s experience in helping customers across different industries unlock AI’s potential, while protecting privacy and mitigating risk, here are five key benefits of private AI:

1. Addresses regulatory compliance

As governments and businesses focus on protecting consumer privacy, many organizations are adopting private AI to meet strict data regulations. This is especially true in highly regulated sectors such as aerospace, which often intersect with military, intelligence, or government contractors.

DXC partnered with the European Space Agency to develop “ASK ESA,” a scalable AI platform that improves efficiency across its shared services organization. Using Mistral AI (a European large language model hosted in ESA’s own data center) gave officials confidence that sensitive data remained secure and compliant under strict rules. Beyond hosting models privately, the solution embeds observability and explainability so decision paths, model performance and policy alignment are auditable: a necessity for regulated environments.

Due to the potentially sensitive nature of the documents, the ASK ESA platform was designed to comply with the agency’s AI and data policies, helping the agency use AI with speed and ease in a highly secure environment. 

2. Maintains control over sensitive and proprietary data

Private AI gives organizations more control over how enterprise data is used and accessed. Instead of sending internal data into public AI models, companies can apply guardrails across AI systems and worflows to protect confidentiality.

This is the approach Portugal’s largest telecom provider, MEO, took when developing an AI assistant to simplify compliance with regulators. DXC implements these capabilities via focused pilots that prove impact, then extends them through governed platforms and accelerators so private AI delivers repeatable business outcomes.

“The conversational assistant with ChatGPT capabilities surprised us with the assertiveness of its responses,” said Francisco Xavier dos Santos, Head of Regulation, Competition and Legal at MEO. “It’s a tool that allows us to free up resources and speed up the work carried out by our team of legal analysts.” 

Operating in a sector subject to frequent regulatory changes, MEO’s legal team had spent significant time manually cross-referencing confidential records to meet requests. By collaborating with DXC, the company built an AI assistant that streamlined the extraction and standardization of regulatory information, improving speed and efficiency while safeguarding sensitive data.

Using a controlled, private document repository, the tool developed by DXC and MEO ensures maximum data security and confidentiality. 

3. Deepens trust with customers and key stakeholders

A strong commitment to data privacy and security helps build trust, especially in industries that handle sensitive information such as infrastructure, where work on highways, bridges and airports directly impacts public safety.

When Ferrovial, a Spanish infrastructure company headquartered in the Netherlands, set out to streamline operations, it turned to DXC’s AI Workbench. The generative AI platform deployed more than 30 AI agents to improve efficiency and safety across workflows. Crucially, these systems follow a Human+ model where agents take on routine automation while people retain decision authority, supported by role redesign and reskilling to maximize value.

Given the critical nature of its projects, Ferrovial required secure and responsible AI. DXC’s AI Workbench delivered the necessary privacy controls while enhancing operations for the company’s 24,000 employees.

Integration with Workday and ServiceNow helped Ferrovial boost automation and data-driven decision-making worldwide.  

4. Strengthens competitive advantage

Privately deployed AI systems can give companies an edge by allowing them to use their own data more securely and effectively.

For Ventia, an infrastructure services provider in Australia and New Zealand, responding to bids was a time-consuming process that required days of manually retrieving documents from past submissions. To move from prototype to production, organizations must pair private models with observability, governance and delivery accelerators so they can measure impact, mitigate drift and scale with confidence.

Working with DXC’s data and AI team and its AWS practice, Ventia developed “Tendia,” a GenAI solution trained on the company’s historical tenders. Built on a retrieval augmented generation framework, Tendia enables Ventia to prepare bid responses faster and more efficiently, while ensuring data privacy. 

Ventia’s bid team now gets answers in seconds from the GenAI assistant, freeing time to craft stronger, more compelling and competitive bids for clients.

5. Minimizes errors and improves accuracy and quality

Private AI isn’t always about protecting sensitive data. It can also help governments unlock and organize vast public data collections for broader access.

Italy’s Ministry of Culture partnered with DXC to create an AI agent that gives researchers, museums, and educators a single portal to more than 6,500 libraries. Built on a GraphRAG framework and structured knowledge system, the platform connects cultural objects and historical events, delivering accurate answers linked to credible sources. 

Because the AI agent can run in a secure, government-controlled environment instead of a public cloud service, the Ministry maintains data sovereignty and can keep national cultural data in Italy.

These deployments also include explainability and audit trails so researchers and regulators can verify outputs, it’s a practical example of how private AI supports both access and accountability.

 

The big picture

As governments and businesses race to harness AI’s potential, growing concerns over data privacy are prompting many to turn to private AI and trusted enterprise partners. This approach enables organizations to unlock AI’s power while safeguarding sensitive information.

And by deploying private AI through DXC’s Xponential blueprint (combining MVPs, observability, accelerators and human-plus practices) organizations can move from pilot experiments to enterprise scale with measurable value and defensible governance.

Go deeper

 

About the author

James Mahon is the Reinsurance Pre-Sales Lead, DXC Technology;

Karim Jeribi, the global head of DXC's strategic industries. He focuses on Public Sector, Aerospace & Defense, Healthcare, and Consumer & Retail, nurturing innovation and growth with clients. 

This blog originally appeared in the AI Journal